The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-25"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "5495061 (up from 5407613 yesterday: 1.62 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "346232 (up from 345059 yesterday: 0.34 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.3



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1662302 19056 1.16 98220 500 0.51 5.91
Brazil 374898 11687 3.22 23473 807 3.56 6.26
Russia 353427 8946 2.60 3633 92 2.60 1.03
United Kingdom 262547 1631 0.63 36996 121 0.33 14.09
Spain 235400 -372 -0.16 26834 -1918 -6.67 11.40
Italy 230158 300 0.13 32877 92 0.28 14.28
France 183067 358 0.20 28460 90 0.32 15.55
Germany 180600 272 0.15 8309 26 0.31 4.60
Turkey 157814 987 0.63 4369 29 0.67 2.77
India 144950 6414 4.63 4172 148 3.68 2.88
Iran 137724 2023 1.49 7451 34 0.46 5.41
Peru 123979 4020 3.35 3629 173 5.01 2.93
Canada 87119 1013 1.18 6655 121 1.85 7.64
China 84102 7 0.01 4638 0 0.00 5.51
Saudi Arabia 74795 2235 3.08 399 9 2.31 0.53
Chile 73997 4895 7.08 761 43 5.99 1.03
Mexico 71105 2485 3.62 7633 239 3.23 10.73
Belgium 57342 250 0.44 9312 32 0.34 16.24
Pakistan 56349 1748 3.20 1167 34 3.00 2.07
Netherlands 45647 210 0.46 5849 8 0.14 12.81
Qatar 45465 1751 4.01 26 3 13.04 0.06
Ecuador 37355 599 1.63 3203 95 3.06 8.57
Belarus 37144 946 2.61 204 5 2.51 0.55
Bangladesh 35585 1975 5.88 501 21 4.38 1.41
Sweden 33843 384 1.15 4029 31 0.78 11.90
Singapore 31960 344 1.09 23 0 0.00 0.07
Portugal 30788 165 0.54 1330 14 1.06 4.32
Switzerland 30746 10 0.03 1913 7 0.37 6.22
United Arab Emirates 30307 822 2.79 248 3 1.22 0.82
Ireland 24698 59 0.24 1606 -2 -0.12 6.50
South Africa 23615 1032 4.57 481 52 12.12 2.04
Indonesia 22750 479 2.15 1391 19 1.38 6.11
Colombia 21981 806 3.81 750 23 3.16 3.41
Kuwait 21967 665 3.12 165 9 5.77 0.75
Poland 21631 305 1.43 1007 11 1.10 4.66
Ukraine 21245 259 1.23 623 6 0.97 2.93
Romania 18283 213 1.18 1205 20 1.69 6.59
Egypt 17967 702 4.07 783 19 2.49 4.36
Israel 16734 17 0.10 281 2 0.72 1.68
Japan 16581 31 0.19 830 10 1.22 5.01
Austria 16539 36 0.22 641 1 0.16 3.88
Dominican Republic 15073 272 1.84 460 2 0.44 3.05
Philippines 14319 284 2.02 873 5 0.58 6.10
Argentina 12628 552 4.57 467 15 3.32 3.70
Denmark 11586 27 0.23 563 1 0.18 4.86
Korea, South 11225 19 0.17 269 2 0.75 2.40
Serbia 11193 34 0.30 239 1 0.42 2.14
Panama 11183 257 2.35 310 4 1.31 2.77
Afghanistan 11173 591 5.58 219 1 0.46 1.96
Bahrain 9171 33 0.36 14 0 0.00 0.15
Czechia 9002 47 0.52 317 2 0.63 3.52
Kazakhstan 8969 438 5.13 35 0 0.00 0.39
Algeria 8503 197 2.37 609 9 1.50 7.16
Norway 8364 12 0.14 235 0 0.00 2.81
Nigeria 8068 229 2.92 233 7 3.10 2.89
Oman 7770 0 0.00 37 0 0.00 0.48
Morocco 7532 99 1.33 200 1 0.50 2.66
Malaysia 7417 172 2.37 115 0 0.00 1.55
Moldova 7147 54 0.76 261 11 4.40 3.65
Australia 7126 12 0.17 102 0 0.00 1.43
Armenia 7113 452 6.79 87 6 7.41 1.22
Ghana 6808 125 1.87 32 0 0.00 0.47
Bolivia 6660 397 6.34 261 11 4.40 3.92
Finland 6599 20 0.30 308 1 0.33 4.67
Cameroon 4890 0 0.00 165 0 0.00 3.37
Iraq 4632 163 3.65 163 3 1.88 3.52
Azerbaijan 4271 149 3.61 51 2 4.08 1.19
Honduras 4189 239 6.05 182 2 1.11 4.34
Luxembourg 3993 1 0.03 110 0 0.00 2.75
Sudan 3976 156 4.08 170 5 3.03 4.28
Guatemala 3760 336 9.81 59 1 1.72 1.57
Hungary 3756 15 0.40 491 5 1.03 13.07
Guinea 3275 0 0.00 20 0 0.00 0.61
Uzbekistan 3189 25 0.79 13 0 0.00 0.41
Senegal 3130 83 2.72 35 0 0.00 1.12
Tajikistan 3100 171 5.84 46 0 0.00 1.48
Thailand 3042 2 0.07 57 1 1.79 1.87
Greece 2882 4 0.14 172 1 0.58 5.97
Djibouti 2468 198 8.72 14 4 40.00 0.57
Bulgaria 2433 6 0.25 130 0 0.00 5.34
Cote d’Ivoire 2423 47 1.98 30 0 0.00 1.24
Bosnia and Herzegovina 2406 5 0.21 146 2 1.39 6.07
Congo (Kinshasa) 2297 156 7.29 67 4 6.35 2.92
Croatia 2244 0 0.00 100 1 1.01 4.46
Gabon 2135 201 10.39 14 2 16.67 0.66
North Macedonia 1999 21 1.06 113 0 0.00 5.65
El Salvador 1983 68 3.55 35 0 0.00 1.77
Cuba 1947 6 0.31 82 0 0.00 4.21
Estonia 1824 1 0.05 65 1 1.56 3.56
Iceland 1804 0 0.00 10 0 0.00 0.55
Somalia 1689 95 5.96 66 5 8.20 3.91
Lithuania 1635 12 0.74 63 0 0.00 3.85
Slovakia 1511 2 0.13 28 0 0.00 1.85
New Zealand 1504 0 0.00 21 0 0.00 1.40
Slovenia 1469 1 0.07 107 0 0.00 7.28
Kyrgyzstan 1433 30 2.14 16 2 14.29 1.12
Maldives 1395 24 1.75 4 0 0.00 0.29
Kenya 1286 72 5.93 52 1 1.96 4.04
Sri Lanka 1182 41 3.59 10 1 11.11 0.85
Guinea-Bissau 1178 64 5.75 7 1 16.67 0.59
Venezuela 1177 56 5.00 10 0 0.00 0.85
Lebanon 1119 5 0.45 26 0 0.00 2.32
Mali 1059 29 2.82 67 2 3.08 6.33
Tunisia 1051 0 0.00 48 0 0.00 4.57
Latvia 1049 2 0.19 22 0 0.00 2.10
Equatorial Guinea 1043 83 8.65 12 1 9.09 1.15
Kosovo 1038 6 0.58 30 1 3.45 2.89
Albania 1004 6 0.60 32 0 0.00 3.19

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 362764 1249 0.35 29229 88 0.30 8.06 18647.69 1502.50 1 in 54
New Jersey 155092 938 0.61 11147 9 0.08 7.19 17461.01 1254.98 1 in 57
Illinois 112017 1713 1.55 4885 29 0.60 4.36 8839.85 385.50 1 in 113
California 96400 2380 2.53 3769 15 0.40 3.91 2439.75 95.39 1 in 410
Massachusetts 93271 596 0.64 6416 44 0.69 6.88 13421.25 923.23 1 in 75
Pennsylvania 71925 362 0.51 5146 10 0.19 7.15 5618.27 401.97 1 in 178
Texas 56409 548 0.98 1533 5 0.33 2.72 1945.41 52.87 1 in 514
Michigan 54881 202 0.37 5241 13 0.25 9.55 5495.32 524.79 1 in 182
Florida 51746 879 1.73 2252 15 0.67 4.35 2409.29 104.85 1 in 415
Maryland 47152 839 1.81 2302 25 1.10 4.88 7799.29 380.77 1 in 128
Georgia 43400 498 1.16 1848 21 1.15 4.26 4087.62 174.05 1 in 245
Connecticut 40873 405 1.00 3742 49 1.33 9.16 11464.15 1049.56 1 in 87
Louisiana 37809 640 1.72 2691 0 0.00 7.12 8133.08 578.86 1 in 123
Virginia 37727 1483 4.09 1208 37 3.16 3.20 4420.00 141.53 1 in 226
Ohio 32477 566 1.77 1987 18 0.91 6.12 2778.40 169.99 1 in 360
Indiana 31715 339 1.08 1984 8 0.40 6.26 4710.93 294.70 1 in 212
Colorado 24256 82 0.34 1333 1 0.08 5.50 4212.04 231.47 1 in 237
North Carolina 24057 692 2.96 790 6 0.77 3.28 2293.75 75.32 1 in 436
Minnesota 21315 742 3.61 890 12 1.37 4.18 3779.50 157.81 1 in 265
Tennessee 20535 424 2.11 338 2 0.60 1.65 3005.19 49.46 1 in 333
Washington 20065 237 1.20 1070 9 0.85 5.33 2634.97 140.51 1 in 380
Iowa 17557 306 1.77 456 0 0.00 2.60 5564.69 144.53 1 in 180
Arizona 16575 198 1.21 807 6 0.75 4.87 2176.66 105.98 1 in 459
Wisconsin 15584 307 2.01 514 4 0.78 3.30 2676.54 88.28 1 in 374
Alabama 14986 508 3.51 566 15 2.72 3.78 3056.38 115.44 1 in 327
Rhode Island 14065 0 0.00 608 0 0.00 4.32 13276.87 573.93 1 in 75
Mississippi 13458 198 1.49 635 10 1.60 4.72 4521.95 213.36 1 in 221
Missouri 12476 327 2.69 689 3 0.44 5.52 2032.77 112.26 1 in 492
Nebraska 12362 228 1.88 147 0 0.00 1.19 6390.59 75.99 1 in 156
South Carolina 10178 82 0.81 440 5 1.15 4.32 1976.80 85.46 1 in 506
Kansas 9125 121 1.34 207 2 0.98 2.27 3132.17 71.05 1 in 319
Delaware 8965 156 1.77 332 6 1.84 3.70 9206.54 340.95 1 in 109
Kentucky 8571 0 0.00 391 0 0.00 4.56 1918.45 87.52 1 in 521
Utah 8521 129 1.54 98 1 1.03 1.15 2657.86 30.57 1 in 376
District of Columbia 8225 115 1.42 440 8 1.85 5.35 11654.29 623.45 1 in 86
Nevada 7956 75 0.95 394 14 3.68 4.95 2582.99 127.92 1 in 387
New Mexico 7026 83 1.20 320 3 0.95 4.55 3350.77 152.61 1 in 298
Oklahoma 6090 53 0.88 313 2 0.64 5.14 1539.06 79.10 1 in 650
Arkansas 6029 107 1.81 117 1 0.86 1.94 1997.80 38.77 1 in 501
South Dakota 4586 23 0.50 50 0 0.00 1.09 5183.92 56.52 1 in 193
New Hampshire 4197 48 1.16 210 1 0.48 5.00 3086.69 154.44 1 in 324
Oregon 3949 22 0.56 148 0 0.00 3.75 936.28 35.09 1 in 1068
Puerto Rico 3260 71 2.23 129 2 1.57 3.96 1020.76 40.39 1 in 980
Idaho 2626 0 0.00 79 0 0.00 3.01 1465.35 44.08 1 in 682
North Dakota 2457 39 1.61 54 1 1.89 2.20 3224.15 70.86 1 in 310
Maine 2074 19 0.92 78 0 0.00 3.76 1542.91 58.03 1 in 648
West Virginia 1774 15 0.85 72 0 0.00 4.06 992.64 40.29 1 in 1007
Vermont 962 6 0.63 54 0 0.00 5.61 1541.69 86.54 1 in 649
Wyoming 843 5 0.60 12 0 0.00 1.42 1456.56 20.73 1 in 687
Hawaii 643 0 0.00 17 0 0.00 2.64 454.14 12.01 1 in 2202
Montana 479 0 0.00 16 0 0.00 3.34 448.18 14.97 1 in 2231
Alaska 408 1 0.25 10 0 0.00 2.45 557.72 13.67 1 in 1793

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1739449 362764 20.86 89415.45
New Jersey 623797 155092 24.86 70230.09
Illinois 769564 112017 14.56 60730.34
California 1644102 96400 5.86 41609.96
Massachusetts 540561 93271 17.25 77784.12
Pennsylvania 403114 71925 17.84 31488.39
Texas 805654 56409 7.00 27785.12
Michigan 472860 54881 11.61 47348.23
Florida 908235 51746 5.70 42287.28
Maryland 249577 47152 18.89 41281.87
Georgia 513545 43400 8.45 48368.14
Connecticut 221726 40873 18.43 62190.22
Louisiana 330898 37809 11.43 71179.32
Virginia 258750 37727 14.58 30314.50
Ohio 330334 32477 9.83 28260.00
Indiana 226251 31715 14.02 33607.20
Colorado 150308 24256 16.14 26100.87
North Carolina 344690 24057 6.98 32864.92
Minnesota 204059 21315 10.45 36183.03
Tennessee 396219 20535 5.18 57984.62
Washington 326593 20065 6.14 42888.72
Iowa 132715 17557 13.23 42064.04
Arizona 187782 16575 8.83 24659.83
Wisconsin 208963 15584 7.46 35889.29
Alabama 190315 14986 7.87 38814.57
Rhode Island 132701 14065 10.60 125265.14
Mississippi 143917 13458 9.35 48356.79
Missouri 157385 12476 7.93 25643.48
Nebraska 85732 12362 14.42 44319.50
South Carolina 166020 10178 6.13 32244.95
Kansas 81399 9125 11.21 27940.35
Delaware 53896 8965 16.63 55348.11
Kentucky 169856 8571 5.05 38018.90
Utah 196468 8521 4.34 61282.15
District of Columbia 40803 8225 20.16 57815.17
Nevada 114731 7956 6.93 37248.44
New Mexico 173481 7026 4.05 82734.93
Oklahoma 161033 6090 3.78 40696.03
Arkansas 111622 6029 5.40 36987.57
South Dakota 35283 4586 13.00 39883.16
New Hampshire 61386 4197 6.84 45146.36
Oregon 113858 3949 3.47 26995.04
Puerto Rico 3260 3260 100.00 1020.76
Idaho 41406 2626 6.34 23105.19
North Dakota 66350 2457 3.70 87066.41
Maine 37524 2074 5.53 27915.24
West Virginia 86325 1774 2.06 48303.25
Vermont 29669 962 3.24 47547.31
Wyoming 20389 843 4.13 35228.83
Hawaii 50371 643 1.28 35575.96
Montana 33682 479 1.42 31514.50
Alaska 44472 408 0.92 60791.89

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 52667 2436 4.85 15786 29.97 35186 1695 60 3.67 3.22
Tamil Nadu 17082 805 4.95 8731 51.11 8232 119 7 6.25 0.70
Gujarat 14468 405 2.88 6636 45.87 6944 888 30 3.50 6.14
Delhi 14053 635 4.73 6771 48.18 7006 276 15 5.75 1.96
Rajasthan 7376 348 4.95 4056 54.99 3153 167 4 2.45 2.26
Madhya Pradesh 6859 194 2.91 3571 52.06 2988 300 10 3.45 4.37
Uttar Pradesh 6497 229 3.65 3660 56.33 2668 169 8 4.97 2.60
West Bengal 3816 149 4.06 1414 37.05 2124 278 6 2.21 7.29
State Unassigned 2970 328 12.41 0 0.00 2970 0 0 NaN 0.00
Andhra Pradesh 2886 106 3.81 1892 65.56 938 56 0 0.00 1.94
Bihar 2737 163 6.33 733 26.78 1991 13 2 18.18 0.47
Karnataka 2182 93 4.45 705 32.31 1431 44 2 4.76 2.02
Punjab 2081 21 1.02 1913 91.93 128 40 0 0.00 1.92
Telangana 1920 66 3.56 1164 60.62 700 56 3 5.66 2.92
Jammu and Kashmir 1668 47 2.90 809 48.50 836 23 2 9.52 1.38
Odisha 1438 102 7.63 649 45.13 782 7 0 0.00 0.49
Haryana 1213 29 2.45 802 66.12 395 16 0 0.00 1.32
Kerala 897 49 5.78 532 59.31 359 6 0 0.00 0.67
Assam 549 156 39.69 63 11.48 479 4 0 0.00 0.73
Jharkhand 405 35 9.46 148 36.54 253 4 0 0.00 0.99
Uttarakhand 349 32 10.09 58 16.62 284 4 1 33.33 1.15
Chhattisgarh 292 40 15.87 67 22.95 225 0 0 NaN 0.00
Chandigarh 266 4 1.53 187 70.30 75 4 0 0.00 1.50
Himachal Pradesh 223 20 9.85 63 28.25 153 4 0 0.00 1.79
Tripura 198 4 2.06 165 83.33 33 0 0 NaN 0.00
Goa 67 1 1.52 19 28.36 48 0 0 NaN 0.00
Ladakh 53 1 1.92 43 81.13 10 0 0 NaN 0.00
Puducherry 49 8 19.51 17 34.69 32 0 0 NaN 0.00
Manipur 36 4 12.50 4 11.11 32 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 15 1 7.14 12 80.00 2 1 0 0.00 6.67
Nagaland 3 3 Inf 0 0.00 3 0 0 NaN 0.00
Arunachal Pradesh 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Sikkim 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 675882 87258 148 0.17 12.91 3721 196 25215 15874 18.19
Piemonte 288018 30228 48 0.16 10.50 1227 72 7496 3798 12.56
Emilia-Romagna 294181 27587 29 0.11 9.38 514 82 4359 4068 14.75
Veneto 590179 19097 11 0.06 3.24 179 10 2578 1878 9.83
Toscana 230273 10067 5 0.05 4.37 152 37 1636 1015 10.08
Liguria 94472 9497 17 0.18 10.05 236 18 1556 1425 15.00
Lazio 235840 7643 16 0.21 3.24 1085 60 3554 688 9.00
Marche 96270 6716 2 0.03 6.98 95 13 1662 995 14.82
Campania 175466 4755 6 0.13 2.71 287 7 1213 405 8.52
Puglia 104670 4467 9 0.20 4.27 190 15 1678 491 10.99
P.A. Trento 80454 4405 1 0.02 5.48 27 4 517 458 10.40
Sicilia 135261 3427 4 0.12 2.53 89 9 1433 270 7.88
Friuli Venezia Giulia 120123 3240 4 0.12 2.70 62 1 386 329 10.15
Abruzzo 67468 3227 1 0.03 4.78 149 3 1046 400 12.40
P.A. Bolzano 61075 2593 0 0.00 4.25 29 5 184 291 11.22
Umbria 63916 1430 0 0.00 2.24 15 2 46 75 5.24
Sardegna 51073 1354 -2 -0.15 2.65 49 3 231 129 9.53
Valle d’Aosta 14175 1179 1 0.08 8.32 19 1 33 143 12.13
Calabria 63508 1157 0 0.00 1.82 42 1 264 96 8.30
Molise 13315 432 0 0.00 3.24 5 2 177 22 5.09
Basilicata 26634 399 0 0.00 1.50 13 0 36 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 47993 573 1.21 4070 85 2.13 8.48 5621.32 476.71 1 in 178
Ontario 27302 405 1.51 2210 29 1.33 8.09 1855.79 150.22 1 in 539
Alberta 6879 19 0.28 138 3 2.22 2.01 1558.75 31.27 1 in 642
British Columbia 2530 13 0.52 161 4 2.55 6.36 495.02 31.50 1 in 2020
Nova Scotia 1051 1 0.10 58 0 0.00 5.52 1075.24 59.34 1 in 930
Saskatchewan 634 2 0.32 7 0 0.00 1.10 536.53 5.92 1 in 1864
Manitoba 292 0 0.00 7 0 0.00 2.40 211.98 5.08 1 in 4718
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 121 0 0.00 0 0 NaN 0.00 155.13 0.00 1 in 6446
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1592 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1065 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 669 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 564 3 0.53
Fujian 357 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 232 1 0.43
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5080.39 300.18 1 in 197
Brazil 1791.20 112.15 1 in 558
Russia 2445.86 25.14 1 in 409
United Kingdom 3951.64 556.83 1 in 253
Spain 5045.01 575.10 1 in 198
Italy 3805.52 543.60 1 in 263
France 2732.75 424.84 1 in 366
Germany 2181.42 100.36 1 in 458
Turkey 1952.90 54.07 1 in 512
India 108.25 3.12 1 in 9238
Iran 1696.94 91.81 1 in 589
Peru 3853.87 112.81 1 in 259
Canada 2317.61 177.04 1 in 431
China 60.68 3.35 1 in 16480
Saudi Arabia 2270.64 12.11 1 in 440
Chile 4099.56 42.16 1 in 244
Mexico 550.35 59.08 1 in 1817
Belgium 5030.00 816.84 1 in 199
Pakistan 286.04 5.92 1 in 3496
Netherlands 2656.98 340.45 1 in 376

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 198731 21259 10.70
Cook Illinois 73097 3324 4.55
Los Angeles California 46023 2116 4.60
Nassau New York 39907 2103 5.27
Suffolk New York 39090 1840 4.71
Westchester New York 33049 1343 4.06
Philadelphia Pennsylvania 21234 1233 5.81
Middlesex Massachusetts 20539 1527 7.43
Wayne Michigan 19816 2364 11.93
Hudson New Jersey 18879 1137 6.02
Bergen New Jersey 17901 1525 8.52
Suffolk Massachusetts 17480 839 4.80
Essex New Jersey 17248 1598 9.26
Miami-Dade Florida 17041 633 3.71
Passaic New Jersey 15774 891 5.65
Middlesex New Jersey 15437 955 6.19
Union New Jersey 15218 1024 6.73
Fairfield Connecticut 15213 1221 8.03
Prince George’s Maryland 13726 497 3.62
Essex Massachusetts 13575 863 6.36
Rockland New York 12996 618 4.76
New Haven Connecticut 11017 922 8.37
Harris Texas 10995 221 2.01
Providence Rhode Island 10607 0 0.00
Worcester Massachusetts 10505 692 6.59
Orange New York 10244 429 4.19
Montgomery Maryland 10111 562 5.56
Hartford Connecticut 9841 1187 12.06
Fairfax Virginia 9482 331 3.49
Marion Indiana 9189 533 5.80
Dallas Texas 8998 211 2.34
Ocean New Jersey 8430 690 8.19
Maricopa Arizona 8379 385 4.59
Oakland Michigan 8226 955 11.61
District of Columbia District of Columbia 8225 440 5.35
Monmouth New Jersey 7865 556 7.07
Norfolk Massachusetts 7844 784 9.99
King Washington 7826 550 7.03
Lake Illinois 7723 250 3.24
Plymouth Massachusetts 7594 513 6.76
Jefferson Louisiana 7298 437 5.99
DuPage Illinois 7207 340 4.72
Hennepin Minnesota 7168 539 7.52
Orleans Louisiana 7005 502 7.17
Riverside California 7004 292 4.17
Broward Florida 6760 298 4.41
San Diego California 6701 249 3.72
Bristol Massachusetts 6681 375 5.61
Montgomery Pennsylvania 6576 633 9.63
Macomb Michigan 6516 778 11.94

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc